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Bombers
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : Jarrid Yates | Morale : 40 | Team Overall : 63
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Team Leaders

Team Stats
Team Info

General ManagerJarrid Yates
DivisionDivision 2
ConferenceConference 1
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets0


Roster Info

Pro Team22
Farm Team22
Contract Limit44 / 250
Prospects39


Filter Tips
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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Carl HagelinX100.006252877564605558455953744788680406903513,666,000$
2Riley SheahanX100.00455155677660308570615755448895040680322900,000$
3Adam GaudetteX100.00725689736560556652555655576862040650274750,000$
4Glenn GawdinX100.00615090676875305555505064306455040630261700,000$
5Logan ShawX100.00525090737860555569535057397659040630311675,000$
6Brandon WoodsX100.00474555738160556035555153305267040610311725,000$
7Gemel SmithX100.00425555736260555541575050307260040600293700,000$
8Matt Coronato (R)X100.00575055715880305737505050305554040590213925,000$
9Danick MartelX100.00474555734760555934545152305265040590293730,000$
10Vitaly AbramovX100.00474555735760555732535051305261040580252750,000$
11Michael Kesselring (R)X100.0060507272778230553564516432576304067N0235925,000$
12Kaedan KorczakX100.00725090727683325535575160325859043670221842,500$
13Dylan McIlrathX100.00715558678877305536555058318362040660311650,000$
14Nikita OkhotiukX100.00795085676977325535505757365956040660231842,500$
15Parker Wotherspoon (R)X100.00525081676878325535515157326058041620261750,000$
16Tim HeedX100.00474555736060556135555153305268040610322960,000$
17Lassi ThomsonX100.00565055676576305536505053305954040600232925,000$
18Dmitri SamorukovX100.00455063677480305536505055306056040600242832,500$
19David FarranceX100.00474555736260555731535051305260040590242925,000$
Scratches
TEAM AVERAGE100.0056506871686942584154525634646204063
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Devon Levi (R)100.0071409270755766625973605464040660223925,000$
2Maxime Lagace100.0073306577555550675257676753040600302700,000$
Scratches
1Corey Crawford100.00553065825555555555557097800656003816,000,000$
TEAM AVERAGE100.006633747662565761556266736604862
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contrat Signature Date Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Adam GaudetteBombers (IND)C271996-10-03No175 Lbs6 ft1NoNoN/ANoNo4Pro & Farm750,000$750,000$0$0$No750,000$750,000$750,000$------NoNoNo------
Brandon WoodsBombers (IND)LW311992-01-01No210 Lbs6 ft4NoNoN/ANoNo1Pro & Farm725,000$725,000$0$0$No------------------
Carl HagelinBombers (IND)LW351988-08-23No183 Lbs6 ft0NoNoN/ANoNo1Pro & Farm3,666,000$3,666,000$0$0$No------------------
Corey CrawfordBombers (IND)G381984-12-31No216 Lbs6 ft2NoNoN/ANoNo1Pro & Farm6,000,000$6,000,000$0$0$No------------------
Danick MartelBombers (IND)LW291994-12-12No162 Lbs5 ft8NoNoN/ANoNo3Pro & Farm730,000$730,000$0$0$No730,000$730,000$-------NoNo-------
David FarranceBombers (IND)D241999-06-23No189 Lbs5 ft11NoNoN/ANoNo2Pro & Farm925,000$925,000$0$0$No925,000$--------No--------
Devon LeviBombers (IND)G222001-12-27Yes184 Lbs6 ft0NoNoN/ANoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$-------NoNo-------
Dmitri SamorukovBombers (IND)D241999-06-16No188 Lbs6 ft3NoNoN/ANoNo2Pro & Farm832,500$832,500$0$0$No832,500$--------No--------
Dylan McIlrathBombers (IND)D311992-04-20No232 Lbs6 ft5NoNoN/ANoNo1Pro & Farm650,000$650,000$0$0$No------------------
Gemel SmithBombers (IND)C291994-04-16No203 Lbs5 ft10NoNoN/ANoNo3Pro & Farm700,000$700,000$0$0$No700,000$700,000$-------NoNo-------
Glenn GawdinBombers (IND)C261997-03-25No191 Lbs6 ft1NoNoN/ANoNo1Pro & Farm700,000$700,000$0$0$No------------------
Kaedan KorczakBombers (IND)D222001-01-29No202 Lbs6 ft3NoNoN/ANoNo1Pro & Farm842,500$842,500$0$0$No------------------
Lassi ThomsonBombers (IND)D232000-09-24No190 Lbs6 ft0NoNoN/ANoNo2Pro & Farm925,000$925,000$0$0$No925,000$--------No--------
Logan ShawBombers (IND)RW311992-10-05No208 Lbs6 ft3NoNoN/ANoNo1Pro & Farm675,000$675,000$0$0$No------------------
Matt CoronatoBombers (IND)RW212002-11-14Yes183 Lbs5 ft10NoNoN/ANoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$-------NoNo-------
Maxime LagaceBombers (IND)G301993-01-12No190 Lbs6 ft2NoNoN/ANoNo2Pro & Farm700,000$700,000$0$0$No700,000$--------No--------
Michael KesselringBombers (IND)D232000-01-13Yes190 Lbs6 ft4YesNoN/ANoNo5Pro & Farm925,000$925,000$0$0$No925,000$925,000$925,000$925,000$-----YesYesYesYes-----
Nikita OkhotiukBombers (IND)D232000-12-04No195 Lbs6 ft1NoNoN/ANoNo1Pro & Farm842,500$842,500$0$0$No------------------
Parker WotherspoonBombers (IND)D261997-08-24Yes190 Lbs6 ft1NoNoTrade2024-01-28NoNo1Pro & Farm750,000$750,000$0$0$No------------------
Riley SheahanBombers (IND)LW321991-12-07No214 Lbs6 ft2NoNoN/ANoNo2Pro & Farm900,000$900,000$0$0$No900,000$--------No--------
Tim HeedBombers (IND)D321991-01-27No180 Lbs5 ft11NoNoN/ANoNo2Pro & Farm960,000$960,000$0$0$No960,000$--------No--------
Vitaly AbramovBombers (IND)RW251998-05-08No180 Lbs5 ft10NoNoN/ANoNo2Pro & Farm750,000$750,000$0$0$No750,000$--------No--------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2227.45193 Lbs6 ft12.001,172,659$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brandon Woods34122
2Danick Martel30122
3Gemel Smith26122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
134122
2Dylan McIlrath30122
3Tim Heed26122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brandon Woods51122
2Danick Martel49122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
151122
2Dylan McIlrath49122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
151122
2Gemel Smith49122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
151122
2Dylan McIlrath49122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
15112251122
249122Dylan McIlrath49122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
151122
2Gemel Smith49122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
151122
2Dylan McIlrath49122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Brandon Woods
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Brandon Woods
Extra Forwards
Normal PowerPlayPenalty Kill
, Glenn Gawdin, , Glenn Gawdin
Extra Defensemen
Normal PowerPlayPenalty Kill
, , Tim Heed, Tim Heed
Penalty Shots
, , Gemel Smith, ,
Goalie
#1 : , #2 :


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
OverallHomeVisitor
# VS Team GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
0000000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000%000%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000%000%000%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


Last Played Games
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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
DayGame Visitor Team Score Home Team Score ST OT SO RI Link



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price350
Attendance0%0%
Attendance PCT0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 0 - 0%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 0$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$




Bombers Players Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Bombers Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Bombers Career Team Stats

OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Bombers Players Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Bombers Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA